CAJ | 학술논문

目的研究肾移植排斥反应患者的血清蛋白质谱的差异性,检测肾移植排斥反应早期诊断的特殊血清多肽标记物.方法将研究对象分成实验组和对照组,实验组为经肾活检确诊的10例急性排斥反应和12例慢性排斥反应患者,对照组为12例移植肾功能稳定受者和13例健康志愿者.通过ClinProt磁珠浓缩和基质辅助激光解吸电离法(MALDI)-TOF-MS分析两组研究对象的血清蛋白质谱的差异.结果通过与健康对照组比较,筛选出18条差异性多肽作为诊断肾移植急性排斥反应的潜在生物标记物,6条差异性多肽作为诊断慢性排斥反应的潜在生物标记物.此外,还比较了急性排斥反应与慢性排斥反应患者的多肽差异,检测出了4条高表达的差异性多肽.运用快速分类算法,建立了移植排斥反应的分类模型,该模型对急性排斥反应患者的有效识别能力达到82.64%,对慢性排斥反应患者的有效识别能力高达98.96%.结论基于功能性磁珠的样本分离法结合MALDI-TOF-MS分析的实验方法是精确而稳定的.应用蛋白质组学技术建立了肾移植排斥反应患者的血清蛋白质谱诊断模型,为人们更好的理解肾移植排斥反应的发病机制,并将蛋白质组学技术用于排斥反应早期诊断的新技术手段提供了思路.
목적 연구신이식배척반응환자적혈청단백질보적차이성,검측신이식배척반응조기진단적특수혈청다태표기물.방법 장연구대상분성실험조화대조조,실험조위경신활검학진적10례급성배척반응화12례만성배척반응환자,대조조위12례이식신공능은정수자화13례건강지원자.통과ClinProt자주농축화기질보조격광해흡전리법(MALDI)-TOF-MS분석량조연구대상적혈청단백질보적차이.결과 통과여건강대조조비교,사선출18조차이성다태작위진단신이식급성배척반응적잠재생물표기물,6조차이성다태작위진단만성배척반응적잠재생물표기물.차외,환비교료급성배척반응여만성배척반응환자적다태차이,검측출료4조고표체적차이성다태.운용쾌속분류산법,건립료이식배척반응적분류모형,해모형대급성배척반응환자적유효식별능력체도82.64%,대만성배척반응환자적유효식별능력고체98.96%.결론 기우공능성자주적양본분리법결합MALDI-TOF-MS분석적실험방법 시정학이은정적.응용단백질조학기술건립료신이식배척반응환자적혈청단백질보진단모형,위인문경호적리해신이식배척반응적발병궤제,병장단백질조학기술용우배척반응조기진단적신기술수단제공료사로.
Objective To study the variabilities of serum peptidomics spectra in patients with renal allograft rejection in order to detect specific peptide biomarkers that can be used in the early diagnosis of renal allograft rejection. Methods The serum peptide profiling of two groups of patients with renal allograft rejection (including 10 cases of biopsy-proven acute rejection and 12 cases of chronic rejection) and two groups of controls (including 12 stable graft function transplant recipients and 13 healthy volunteers) was analyzed by the ClinProt magnetic bead enrichment and MALDI-TOF MS. Results A total of 18 differential peptide peaks were selected as potential biomarkers of acute rejection patients,and a total of 6 differential peptide peaks as potential biomarkers of patients with chronic rejection. Between the acute and chronic rejection groups, 4 high expressed differential peptide peaks were detected. A Quick Classifier Algorithm was used to set up the classification model between acute rejection and normal controls, and between chronic rejection and normal controls. The model separated acute rejection from normal controls with a recognition capability of 82.64%,and separated effectively chronic rejection from normal controls with a recognition capability of 98. 96 %. Conclusion Functional magnetic bead based sample fractionation method combined with MALDI-TOF-MS is accurate and stable. This study established a serum peptide fingerprint model for diagnosis of renal allograft rejection.